MRI Motion Management via Simultaneous Orthogonal Plane Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current MRI-guided therapies face challenges in accurately managing motion during treatment, particularly due to semi-periodic and aperiodic movements, which can affect the alignment of treatment fields and lead to inaccuracies in dose delivery.
Innovation Solution
The implementation of a method using simultaneous orthogonal plane imaging (SOPI) and radial CAIPIRINHA techniques to acquire and process k-space data from multiple slices, enabling the estimation of motion surrogate signals and generation of low-latency three-dimensional volumes for real-time motion monitoring and adaptive treatment planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simultaneous orthogonal plane imaging is used to acquire data from multiple slices, then motion monitoring accuracy is improved, but data acquisition complexity increases
Solution Approach 1:
The imaging process is segmented into two orthogonal planes (axial and coronal), with each plane acquiring data from multiple slices simultaneously. This segmentation allows motion to be monitored from multiple perspectives without requiring a single complex volumetric acquisition system.
Solution Approach 2:
The system transitions from monitoring motion in a single plane to monitoring motion in multiple orthogonal dimensions simultaneously. By acquiring data from axial and coronal planes at the same time, the system captures three-dimensional motion information without requiring a fully three-dimensional imaging sequence.
2Manufacturing precision
If real-time motion estimates are provided during treatment, then dose delivery accuracy is improved, but processing time increases
Solution Approach 1:
Motion estimation algorithms are prepared and pre-configured before treatment begins. The system establishes the processing framework in advance, allowing rapid computation of motion parameters once imaging data is acquired during treatment delivery.
Solution Approach 2:
The system uses intermediate motion surrogate signals derived from imaging data as a mediator between raw data and final dose delivery decisions. These surrogates provide real-time motion information without requiring full reconstruction and analysis of complete volumetric datasets.
3Speed
If multiple encoding gradients are applied simultaneously, then imaging speed is improved, but signal interference increases
Solution Approach 1:
The gradient encoding is segmented into orthogonal components (phase encoding in one direction, frequency encoding in another). By separating the encoding directions, the system applies multiple gradients simultaneously without their effects interfering with each other, as each gradient operates in an independent spatial dimension.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy of dose delivery by providing real-time motion estimates and adaptive treatment planning, reducing intra-fraction motion artifacts and improving the precision of radiation therapy and other MRI-guided interventions.
Implementation Method 1
Magnetic resonance imaging ('MRI') can be used to guide interventional procedures and therapies
Implementation Method 2
a first radio frequency ('RF') excitation pulse that excites spins in a first slice
Implementation Method 3
a first slice encoding gradient produced along a first axis and contemporaneous with the first RF excitation pulse to provide slice encoding of the spins in the first slice
Implementation Method 4
a frequency encoding gradient produced along a third axis that is orthogonal to the first axis and the second axis, and that forms a first echo signal at a first echo time and a second echo signal at a second echo time
Data Source
AI summary
Described here are systems and methods for providing three-dimensional motion estimates prior to and during MRI-guided therapies. In general, these systems and methods can include simultaneous orthogonal plane imaging (“SOPI”), synthetic volumetric imaging (“SVI”), self-navigated phase-resolved 4D MRI, radial CAIPIRINHA, and combinations thereof.